Examining the Impact of a Brief Compassion Focused Intervention on Everyday Experiences of Compassion in Autistic Adults Through Psychophysiology and Experience Sampling.

Autistic adults experience greater rates of anxiety and depression compared to the general population. Compassion-focused therapy interventions, aimed at promoting self-compassion capabilities, have shown efficacy in improving mental health outcomes in autistic and non-autistic samples suffering from self-criticism that contribute to difficulties in emotion regulation. We explored the experiences of autistic adults during a brief one-week online self-compassion exercise to evaluate it's feasibility and acceptability through self-report, experience sampling, and parasympathetic activity measured via HRV.

Schema therapy in adults with autism spectrum disorder: A scoping review.

Background: Schema therapy (ST) in adults with autism spectrum disorder (ASD) have gained increasing interest in clinical practice and research. However, to date, there has been no synthesis of the literature on ST as treatment for adults with ASD. Through a scoping review, we aim to summarize the emerging research and literature on ST for adults with ASD.

The Effectiveness of a Motivational Interviewing Treatment for Help-Seeking Problem Gamblers in a Community Organization.

Motivational Interviewing (MI) has been used as an approach to enhance readiness for change and behavior modification in a range of addiction and substance use disorders. Large meta-analyses comparing MI with non-MI interventions point to mixed conclusions about the short-term and long-term effectiveness of MI, with participant, outcome, and delivery factors being important moderators. The current study aimed to assess the immediate (1-2 weeks) and long-term (18 months) effectiveness of MI when delivered at the first point of client contact at a community gambling help counselling service and to investigate whether practitioners' MI adherent and non-adherent behaviors were significant predictors of change in client outcomes.

Accelerating Surgical Simulation Development via OpenSurgSim: Burr Hole Trainer.

The first complete simulation based on OpenSurgSim (OSS) is used as a case study for analyzing how the toolkit can accelerate the development of surgical simulations. The Burr Hole Trainer (BHT) is designed to train non-neurosurgeons to drill holes in the skull to relieve intracranial pressure, and the majority of its simulation functionality is provided by OSS. Based on code size, using OSS cut the development time in half, reduced the necessary size of the development team by two-thirds, and saved millions of US dollars.

Outcomes associated with virtual reality in psychological interventions: where are we now?

The impending commercial release of affordable VR systems is likely to accelerate both the opportunity and demand for VR applications that specifically target psychological conditions. The aim of this study was to conduct a meta-analysis of outcomes associated with VR psychological interventions and to examine the methodological rigour used in these interventions. Literature search was conducted via Ovid, ProQuest Psychology Journals and ScienceDirect (Psychology) databases.

Arbor: comparative analysis workflows for the tree of life.

We describe our efforts to develop a software package, Arbor, that will enable scientific research in all aspects of comparative biology. This software will enable developmental biologists, geneticists, ecologists, geographers, paleobiologists, educators, and students to analyze diverse types of comparative data at multiple phylogenetic and spatiotemporal scales using an intuitive visual interface. Arbor's user-defined workflows will be exported and shared so that entire analyses can be quickly replicated with new or updated data.

An open-source toolkit for the volumetric measurement of CT lung lesions.

An open source lesion sizing toolkit has been developed with a general architecture for implementing lesion segmentation algorithms and a reference algorithm for segmenting solid and part-solid lesions from lung CT scans. The CT lung lesion segmentation algorithm detects four three-dimensional features corresponding to the lung wall, vasculature, lesion boundary edges, and low density background lung parenchyma. These features form boundaries and propagation zones that guide the evolution of a subsequent level set algorithm.

An analysis of early studies released by the Lung Imaging Database Consortium (LIDC).

Rationale And Objectives: To analyze radiologist lung nodule segmentations in the Lung Imaging Database Consortium (LIDC) database and to apply statistical tools to generate estimates of ground truth. This investigation expands on earlier work by considering a larger number of cases from the LIDC database, and results were generated on a per-nodule basis, as opposed to a per-case basis as was done previously.

Materials And Methods: We analyzed nodule data drawn from the 41 most recent computed tomography exams released by the LIDC.

An analysis of early studies released by the Lung Imaging Database Consortium (LIDC).

Lung cancer remains an ongoing problem resulting in substantial deaths in the United States and the world. Within the United states, cancer of the lung and bronchus are the leading causes of fatal malignancy and make up 32% of the cancer deaths among men and 25% of the cancer deaths among women. Five year survival is low, (14%), but recent studies are beginning to provide some hope that we can increase survivability of lung cancer provided that the cancer is caught and treated in early stages.

Part-based local shape models for colon polyp detection.

This paper presents a model-based technique for lesion detection in colon CT scans that uses analytical shape models to map the local shape curvature at individual voxels to anatomical labels. Local intensity profiles and curvature information have been previously used for discriminating between simple geometric shapes such as spherical and cylindrical structures. This paper introduces novel analytical shape models for colon-specific anatomy, viz.

Model-based analysis of local shape for lesion detection in CT scans.

Thin-slice computer tomography provides high-resolution images that facilitate the diagnosis of early-stage lung cancer. However, the sheer size of the CT volumes introduces variability in radiological readings, driving the need for automated detection systems. The main contribution of this paper is a technique for combining geometric and intensity models with the analysis of local curvature for detecting pulmonary lesions in CT.

Computer-aided forensics: facial reconstruction.

The 3D reconstruction of facial features from skeletal remains is a key component to the identification of missing persons and victims of violent crime. A comprehensive Computed Tomography (CT) head-scan database is currently being collected which will enable a new approach to forensic facial reconstruction. Using this unique resource, we show how a face space can be tailored to a specific unknown, or questioned skull.